Senior Data Analyst, Reporting

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Must not include Job ID etc. Must remove boilerplate like EEO, fraud notice, etc. Must preserve all substantive info. We need to parse the posting. Content: - Intro paragraph about Garner mission etc. That's not a section heading; we can put as

maybe before sections? The instruction: Use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use

• for any list of duties/requirements/benefits, and

  for prose. Do NOT repeat the job title as a heading (the page already shows it) and do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

  or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. Output ONLY the HTML fragment — no /, no markdown code fences. Thus we need to decide which sections have real content. From posting: - About the role: There's a paragraph "About the role: We are seeking an exceptional AI-Native Senior, Data Analyst to join our Reporting team..." So we have content for About the role. - Responsibilities: There's a "What you will do:" bullet list (though not bullet but sentences). We can treat as list. - Requirements: There's "The ideal candidate has:" list of qualifications/experience. Could be Requirements or Qualifications. The instruction includes both Requirements and Qualifications as possible headings. We need to decide where to put content. Usually Requirements = experience, skills; Qualifications = education etc. But we can combine. However we must not create thin sections. We could have one section "Requirements" that includes the bullet list of ideal candidate. Or we could split into Requirements and Qualifications if there is distinct content. Let's see: The ideal candidate has: 5+ years experience..., Cross-functional translation..., Autonomy..., Automation mindset..., AI Nativity..., Making data accessible..., Modern data stack..., Desire to be part of high-performing team... That's more like qualifications/skills. Could treat as Requirements. - Skills: Could be separate for technical skills like Snowflake, SQL, dbt, AI agents, etc. But we already covered those in ideal candidate. Might be redundant. - Benefits: The posting mentions "In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more." That's benefits content. So we can have Benefits section. - Pay: The posting includes "Compensation Transparency: The target salary range for this position is $167,000 - $210,000." That's pay. So we can have Pay section. - Schedule: The posting includes "Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday." That's schedule/location. So we can have Schedule section (or maybe Work Location). But schedule heading is allowed. We'll include Schedule. We must not include filler like "commensurate with experience". Not present. We must remove boilerplate: Fraud and Security Notice, Equal Employment Opportunity, etc. Also remove "Compensation Transparency:"? That's part of Pay, we keep the salary range. Also "In addition to base compensation..." is benefits. We must preserve all substantive information: The mission paragraph, About the role paragraph, responsibilities list, ideal candidate list, benefits, pay, schedule/location. We need to format as HTML fragment with

  headings and

  • for lists,

    for prose. We must not include markdown fences. Let's craft: First, maybe an introductory paragraph about Garner mission (the first paragraph). That's not under a heading; we can just put

    before sections. Then

    About the role

    with

    containing the paragraph. Then

    Responsibilities

    with
    • each responsibility. Then

      Requirements

      with
      • each ideal candidate bullet. Then

        Benefits

        with
        • each benefit. Then

          Pay

          with

          containing salary range. Then

          Schedule

          with

          containing location and schedule. We must ensure we don't duplicate content. Let's extract exact sentences. Intro paragraph: "What you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can." We'll keep that as

          . About the role paragraph: "About the role: We are seeking an exceptional AI-Native Senior, Data Analyst to join our Reporting team. Our team delivers insightful, high-quality analysis to our clients on their healthcare use and their engagement with the Garner product. The team supports a combination of developing new scalable reports that we create at higher volume, and innovative custom analysis to provide insights for specific client situations. The Senior Data Analyst partners with our externally-facing relationship managers to address specific client questions via custom and automated analysis. Supporting this responsibility, this role must deeply understand and improve upon the full suite of our existing automated reports, consistently identifying and implementing ways to improve their efficiency, accuracy, and client-impact." We'll put that as

          under About the role. Responsibilities: The "What you will do:" list: - Own and own client-facing analysis end-to-end. (typo "Own and own" but we keep as is) - Build, maintain, and produce key reports for clients across our data ecosystem, from scoping to delivery. - Be a thought partner to our client-facing teams. Use a deep understanding of our clients and the Garner product to partner with stakeholders, answering questions via analytically robust reports and presentations. - Build scalable report automation. Collaborate with the data engineering team to create maintainable automation to create an ever-evolving suite of client reporting. - Develop deep domain expertise. Build a strong understanding of your analytical domain so you can independently drive meaningful insights. - Identify opportunities to improve outcomes through analysis. Identify gaps between the needs of our clients and our reports, proactively develop new insights to fill them. - Raise the bar on data practices. Advocate for best practices in visualization, documentation, metric consistency, and stakeholder communication across teams. - Answer high-stakes, ambiguous questions. Run deep-dive investigations into complex business problems — the kind of analysis leadership uses to make strategic calls. We'll make each as

        • . Requirements/Ideal candidate list: - 5+ years of experience in Data Analytics, Business Intelligence, Consulting, or a similar data-centric role. - Cross-functional translation. Ability to translate ambiguous business questions into data-driven solutions and to work effectively with non-technical stakeholders. - Autonomy and ownership. Comfortable working independently and owning reporting projects end-to-end. - Automation mindset. Attention to detail with a bias toward automation and scalability over one-off work. - AI Nativity. Comfort with and excitement about building analytics, building dashboards, and validating results by harnessing the power of AI agents. - Making data accessible. A track record of using data analysis to communicate business solutions. - Modern data stack. Hands-on with Snowflake (or a comparable cloud warehouse) and SQL at scale; experience with dbt strongly preferred — you'll partner with Data Management in governed pipelines, not just consume their outputs. - A desire to be part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback. We'll put as
        • . Benefits: "In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more." We'll make
          • each item? Could be one
          • with the list. Better to split: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. We'll make each as
          • . Pay: "Compensation Transparency: The target salary range for this position is $167,000 - $210,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws." We'll put as

            . Schedule: "Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday." We'll put as

            . We must not include any other sections like Skills, Qualifications separately. We have Requirements covering qualifications. Could also add Skills but we already have technical skills in Requirements. To avoid thin sections, we won't add Skills. Now ensure we didn't include boilerplate: Fraud and Security Notice, Equal Employment Opportunity, etc. Removed. Check for duplicated lines: none. Now output HTML fragment. Let's craft:

            What you'll be part of Garner is on a mission to transform the U.S. healthcare system — and we're the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare "win win" — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.

            About the role

            About the role: We are seeking an exceptional AI-Native Senior, Data Analyst to join our Reporting team. Our team delivers insightful, high-quality analysis